At Nodematic, we provide video tutorials on a wide variety of use cases, including AI/ML, data analytics, and cloud computing.
In today’s tutorial, we’ll be taking your Jupyter Notebooks to the next level by automating them using Google Cloud’s Vertex AI Workbench. Imagine the superpower of scheduling your notebooks to …
In this video, we’ll be provisioning a Google Kubernetes Engine cluster, setting up a Jupyter notebook, and testing the notebook’s performance across different hardware configurations. This …
In this tutorial, we guide you through the process of installing Milvus on Google Kubernetes Engine (GKE). Milvus, an open-source vector database managed by the Linux Foundation, is a popular choice …
Welcome to our tutorial on how to use the Google Search API in data or Machine Learning pipelines, specifically focusing on Vertex AI Pipelines.
In this video, we dive deep into utilizing the Google …
In this tutorial, we walk through the steps to create, build, and deploy a custom, rate-limited chatbot using the PaLM 2 LLM, Google Kubernetes Engine, and Vertex AI. You’ll learn about creating …
In this video, we approach the challenge of managing costs while running Kubernetes workloads - specifically, exploring how to configure your Kubernetes cluster to auto-scale your deployments and …
In this video, we introduce Databricks’ data processing, distributed lakehouse storage, and machine learning, powered by Apache Spark, Delta Lake, and MLflow. We also help GCP users understand …
Welcome to our guide on deploying your Dockerized Next.js application on Google Cloud, using Kubernetes, and setting up an automatic CI/CD pipeline with GitHub Actions.
You’ll learn how to …
In this video, we dive deep into the nuances of fine-tuning large language models, specifically comparing Google and OpenAI. We utilize Google’s Vertex AI Suite and OpenAI’s standard API …
In this video, we discuss how data lineage plays a crucial role in the Google Cloud ecosystem, specifically across services like Cloud Composer, BigQuery, DataPlex, and Vertex AI. The importance of …
In this comprehensive walkthrough, we delve deep into the deployment of Dockerized applications, specifically focusing on Kanboard as an example. We use both Google Kubernetes Engine (GKE) Autopilot …
Following up on our previous discussion on automated builds, Docker image creation, and pushing to Google’s Artifact Registry with GitHub Actions, we now turn our focus on deploying these …
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